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Probing Spatial Clues: Canonical Spatial Templates for Object Relationship Understanding.

, , and . IEEE Access, (2021)

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Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs., , , and . NAACL-HLT (1), page 1890-1902. Association for Computational Linguistics, (2019)Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win., , and . CoRR, (2021)Vision and Language Integration Meets Multimedia Fusion., , , and . IEEE Multim., 25 (2): 7-10 (2018)Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps., , , and . CoRR, (2023)Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding., , , and . AAAI, page 1386-1395. AAAI Press, (2023)Simulating Task-Free Continual Learning Streams From Existing Datasets., and . CVPR Workshops, page 2516-2524. IEEE, (2023)Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets., and . MISDOOM, volume 12259 of Lecture Notes in Computer Science, page 1-17. Springer, (2020)Semi-supervised Semantic Role Labeling Using the Latent Words Language Model., and . EMNLP, page 21-29. ACL, (2009)A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)., and . IJCAI, page 5085-5089. ijcai.org, (2020)Journal track.Probing Spatial Clues: Canonical Spatial Templates for Object Relationship Understanding., , and . IEEE Access, (2021)